Otros libros que te pueden interesar

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  Data Engineering Guide for...

  Alan Murray

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  Data Engineering for Beginners demystifies the complex landscape of data infrastructure, offering a clear and accessible introduction to the essential concepts and tools that form the foundation of modern data management. 
  This book covers the core components of data engineering, including data pipelines, storage solutions, and processing frameworks, providing a solid understanding of how data flows through systems and how it can be optimized for analysis. Learn about the various types of data storage, from traditional on-premises solutions to cutting-edge cloud-based technologies, and explore practical strategies for building scalable, reliable, and efficient data architectures. 
  Gain hands-on insights into popular tools and technologies such as Hadoop, Amazon S3, and Azure Data Lake, and discover how to leverage these tools to manage and analyze vast amounts of data effectively. With real-world examples and practical tips, this guide equips you with the knowledge to tackle common challenges in data engineering and to develop robust data solutions tailored to your needs. 
  This book provides a clear path to mastering the core components and strategies essential for success in the field. 
   

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  In the Name of Sharks - 1st Edition

  François Sarano

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  Twenty meters below water, the oceanographer François Sarano came face to face with a five-and-a-half-meter great white shark. Seduced by the gentle elegance of this majestic creature, Sarano experienced a profound sense of affinity with her as they swam side by side, shoulder to shoulder, eye to eye, cutting a single figure through the ocean depths. It was an experience which made him realize the depth of our ignorance of the lives of sharks, leading him to become a passionate advocate for their protection. 
   
   
   
  Drawing on the latest scientific research on the biology and ethology of sharks and their exceptional characteristics, this book aims to break through the barrier of prejudice and to pay homage to their true nature. Representing a last vestige of wildness, their populations are nevertheless under threat—like so many species, they have been hunted and exploited by humans. Sarano argues for a change of mindset in which we lose ourselves in the world of the other, so that each living entity, human and non-human, can take their rightful place in the broader global ecosystem.

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  HVAC Secrets: Fixing What's...

  Quinlan Ashford

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  HVAC Secrets: Fixing What's Broken Simplified Guide & Explanations Included 
     
  Are you eager to advance your career and reinforce your knowledge to achieve lasting success in your business mindset? 
     
  Do you need a thorough guide that encompasses all the key components for transforming your business mindset? 
     
  Your search ends here! 
     
  This guide is your ultimate resource for enhancing your expertise, applying your skills, and engaging in hands-on exercises that prepare you for success. 
     
  Updated to reflect the latest business strategies and structures. 
     
  Our guide stands out due to its extensive coverage, essential for your journey toward success. Concepts are explored in depth, ensuring you gain a clear and profound understanding. 
     
  Structured clearly and written in accessible language, our guide ensures smooth transitions between topics. Say goodbye to overwhelming jargon and embrace content that is clear, precise, and technically sound. 
     
  So, why wait? Click the BUY NOW button, secure your guide, and embark on your path to achieving lasting success in your business mindset!

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  Machine learning

  Bright Mills

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  Machine Learning (ML) is a subset of Artificial Intelligence that empowers systems to learn from data and make decisions or predictions without being explicitly programmed. It represents a major shift from traditional rule-based programming to systems that adapt and improve over time. This comprehensive guide delves into the theoretical foundations, types, algorithms, tools, applications, challenges, and the future of Machine Learning. It covers supervised, unsupervised, semi-supervised, and reinforcement learning in detail, explains key techniques such as neural networks, decision trees, support vector machines, and deep learning, and explores real-world applications across domains like healthcare, finance, security, and robotics. Ethical concerns, bias in AI, explainability, and interpretability are also discussed, offering a well-rounded understanding of the state and direction of Machine Learning.

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  Saving Ourselves from Big Car

  David Obst

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  Cars are killing people and making the planet uninhabitable. Crashes take the lives of more than a million people each year. Air pollution linked to motor vehicles contributes to even more untimely deaths. Highways and unsafe streets have devastated cities, yet traffic congestion still swallows up countless hours. And carbon emissions from transportation are a key driver of climate change, which threatens to make the world unlivable. Why do we still worship at the altar of the car? How can we find alternatives that are healthier for the planet and ourselves? 
    
  This book exposes how "Big Car"—the complex of companies in the automobile, oil, insurance, media, and concrete industries that promote and entrench car dependence—has pursued profit at the expense of the common good. David Obst explores how Big Car gained almost immeasurable influence over our lives, weighing the benefits and the costs of reliance on private automobiles. He details how industry covered up the harms of lead additives, fought against seatbelts, and continues to fund climate-change denialism. Obst considers the future of mobility, surveying how cities are experimenting with forms of transportation that offer alternatives to the dominance of cars. Provocative and comprehensive, Saving Ourselves from Big Car is a wake-up call for us to change how we use cars before it's too late.

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  No Place Like Nome - The Bering...

  Michael Engelhard

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  Beyond Sled Dogs and Gold 
   
   
   
  Somewhere between myths and hard facts you find Nome, poised also between yesterday and tomorrow. Drawing on his background in anthropology and an equal passion for history, Michael Engelhard surveys the seam that links two neighboring continents through the lens of one pivotal city. The region's legacy of millennia shines on pages enriched by this writer's recollections—from mammoths to Cold War monuments, from a spa turned orphanage, to cyclist miners and shaman hoards. Meet the explorers and adventurers, reindeer herders and hustlers, the dancers, drummers, dreamers, warriors, walrus-tusk carvers, and whalers, clergy, foragers, and photographers who shaped a place of conflicting visions as thoroughly as it shaped them.

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